similar to: Standalone program from R script

Dear R helpers, I have a 3D scatter plot that I have generated from scatterplot3d (which looks great- thanks!) and I can see that the points in my graph fall in a plane. Following the example 5 from 3D scatter plot (below) I have fitted a regression plane. Now what I would like to do is a rotation so that my new co-ordinate system is about the fitted plane (by finding the normal to the plane

Is there any way, after use of print.trellis(), to obtain the co-ordinates of the plot region, e.g., in what are then the native co-ordinates? e.g. library(DAAG) library(lattice); library(grid) data(cuckoos) pushViewport(viewport(layout=grid.layout(2, 1))) pushViewport(viewport(layout.pos.row=1)) cuckoos.strip <- stripplot(species ~ length, data=cuckoos) print(cuckoos.strip,

Hi, Is there a neat way of working out the slope of a flat surface in R? Given (x,y,z) co-ordinates of the four corners of a square, is there a function which will allow me to calculate the "mean" slope of the surface in a given direction? Thanks in advance.. Laura Laura Quinn Institute of Atmospheric Science School of Earth and Environment University of Leeds Leeds LS2 9JT tel: +44

Hello I am trying to input some co-ordinate sets into R of the form x,y by using lists. The command I am using is: p1 <- list(x=c(3445,563,646), y=c(234,567,456)) However the actual co-ordinate sets that I am trying to input have 305 points each and I think that the program will not accept a command that is as long as necessary. Is this so? If this is the case can you tell me how to read

Add DRM_MODE_ROTATE_ and DRM_MODE_REFLECT_ defines to the UAPI as a convenience. Ideally the DRM_ROTATE_ and DRM_REFLECT_ property ids are looked up through the atomic API, but realizing that userspace is likely to take shortcuts and assume that the enum values are what is sent over the wire. As a result these defines are provided purely as a convenience to userspace applications.

Add DRM_MODE_ROTATE_ and DRM_MODE_REFLECT_ defines to the UAPI as a convenience. Ideally the DRM_ROTATE_ and DRM_REFLECT_ property ids are looked up through the atomic API, but realizing that userspace is likely to take shortcuts and assume that the enum values are what is sent over the wire. As a result these defines are provided purely as a convenience to userspace applications.

Dear all, Does anyone know of a function that calculates the area of the outer polygon constructed from a data frame with co-ordinates? For example, library(splancs) test = rbind(c(0,0), c(10,0),c(10,10),c(0,20)) plot(test) areapl(test) [1] 150 This is OK, but I want the same area to be returned (150) when adding yet another co-ordinate in the middle of the polygon: test = rbind(c(0,0),

Hi. I need a very short piece of help regarding colouring segments plotted on a graph. When I am plotting segments for the graph, I am using "red" and "darkgreen for the values "1" and "2" respectively. Heres the relevant line of code in R: + col = c("red", "darkgreen")[line.colour.value]) I just need to extend this to refer to a larger

From: Ville Syrjälä <ville.syrjala at linux.intel.com> Move the plane clip rectangle handling into drm_atomic_helper_check_plane_state(). Drivers no longer have to worry about such mundane details. v2: Convert armada, rcar, and sun4i as well Cc: Liviu Dudau <liviu.dudau at arm.com> Cc: Brian Starkey <brian.starkey at arm.com> Cc: Mali DP Maintainers <malidp at

Hi Listers, Is it possible to produce an ordination plot in 2d, where bubbles represent the location of sites (this part is easy enough) and the size of the bubbles is proportional to the sites location in 3d space (I am stuck on this option). So sites that are very near the 2d plane of the xy axes would be larger while sites that are actually further away in 3 d space would be proportionally

I am 100% certain that there is an easy way to do this, but after experimenting off and on for a couple of days, and searching everywhere I could think of, I haven't been able to find the trick. I have this piece of code: ... attach(d) if (ORDINATE == 'ds') { lo <- loess(percent ~ ncms * ds, d, control=loess.control(trace.hat = 'approximate')) grid <-

Hi, i am working on a data set with EDA. That includes QQ-Plots of residuals vs expected normal distribution. What puzzles me is that the range of ordinate and abscissae is so different: while the theoretical quantiles range from [-2, 2] the sample quantiles on the ordinate do extent from [-20, 50]. Quite obviously some kind of transformation is done. Although i intensively RTFM i could not

Hi R users I am trying to create a spatial join between two datasets. The first data set is large and contains descriptive data including x and y co-ordinates. The second dataset is small and has been selected spatially. The only data contained within the second dataset is the x and y coordinates only i.e. no descriptive data. The aim of a join made between the two datasets is to select

I have two assignment problems... I have written this small code for regression with two regressors . n <- 50 x1 <- runif(n,1,10) x2 <- x1 + rnorm(n,0,0.5) plot(x1,x2) # x1 and x2 strongly correlated cor(x1,x2) y <- 3 + 0.5*x1 + 1.1*x2 + rnorm(n,0,2) intact.lm <- lm(y ~ x1 + x2) summary(intact.lm) anova(intact.lm) the questions are 1.The function summary() is convenient since

I have two assignment problems... I have written this small code for regression with two regressors . n <- 50 x1 <- runif(n,1,10) x2 <- x1 + rnorm(n,0,0.5) plot(x1,x2) # x1 and x2 strongly correlated cor(x1,x2) y <- 3 + 0.5*x1 + 1.1*x2 + rnorm(n,0,2) intact.lm <- lm(y ~ x1 + x2) summary(intact.lm) anova(intact.lm) the questions are 1.The function summary() is convenient since

Hi, In the getGraphicsEvent function the (x,y) co-ordinates returned from the mouse move are in relation to where the mouse is located within the device window (i.e. the lower left corner of the window is '(0,0)', the upper right is '(1,1)'). Is there a way of returning the (x,y) co-ordinates of data points plotted where instead of x and y being the actual data points they are

Hi, I am trying to simulate animal movement in a gridded landscape made up of cells. At each time step (iteration), the animal moves from one cell to another in a random fashion. This is how I am simulating movement, where a and b are the x,y co-ordinates of the animal at the previous time step: for (i in 1:no.of.steps){ direction <- sample(1:8, 1) if(direction == 1){ a <- a b <- b -

Dear colleagues, i found a line or two of code in the help archives from Uwe Ligges about creating slanted x-labels for a barplot and it works well for my purposes (code below). However, I was hoping someone could explain to me precisely what the code is doing. I'm aware it's invoking the text command, and I know the first ttwo arguments to text are x and y co-ordinates. I'm also

Pick up the correct source rectangle from framebuffer. Without this multihead setups are not working correctly. Signed-off-by: Gerd Hoffmann <kraxel at redhat.com> --- drivers/gpu/drm/virtio/virtgpu_plane.c | 31 ++++++++++++++++++------------- 1 file changed, 18 insertions(+), 13 deletions(-) diff --git a/drivers/gpu/drm/virtio/virtgpu_plane.c b/drivers/gpu/drm/virtio/virtgpu_plane.c

Pick up the correct source rectangle from framebuffer. Without this multihead setups are not working correctly. Signed-off-by: Gerd Hoffmann <kraxel at redhat.com> --- drivers/gpu/drm/virtio/virtgpu_plane.c | 31 ++++++++++++++++++------------- 1 file changed, 18 insertions(+), 13 deletions(-) diff --git a/drivers/gpu/drm/virtio/virtgpu_plane.c b/drivers/gpu/drm/virtio/virtgpu_plane.c